1 citations · 1 across the 4 of their papers we have counts for
5 papers
Modelling wide-swath altimeter observation-error correlations with a regularised diffusion operator
Olivier Goux, Anthony Weaver, Andrea Piacentini
Unaccounted-for observation-error correlations have long been known to be detrimental to the quality of atmospheric and ocean analyses produced by data assimilation (DA) systems. W…
On the impact of observation error correlations in data assimilation, with application to along-track altimeter data
Olivier Goux, Anthony Weaver, Selime Gürol +2
Data assimilation involves estimating the state of a system by combining observations from various sources with a background estimate of the state. The weights given to the observa…
Application of deep learning to the estimation of normalization coefficients in diffusion-based covariance models
Folke K Skrunes, Mayeul Destouches, Anthony Weaver +3
Variational data assimilation in ocean models depends on the ability to model general correlation operators in the presence of coastlines. Grid-point filters based on diffusion ope…
A filtered multilevel Monte Carlo method for estimating the expectation of cell-centered discretized random fields
Jérémy Briant, Paul Mycek, Mayeul Destouches +5
In this paper, we investigate the use of multilevel Monte Carlo (MLMC) methods for estimating the expectation of discretized random fields. Specifically, we consider a setting in w…
Impact of correlated observation errors on the convergence of the conjugate gradient algorithm in variational data assimilation
Olivier Goux, Selime Gürol, Anthony T. Weaver +2
An important class of nonlinear weighted least-squares problems arises from the assimilation of observations in atmospheric and ocean models. In variational data assimilation, inve…